Allen B. Downey

Allen Downey is a Staff Producer at Brilliant and Professor Emeritus at Olin College, where he taught Modeling and Simulation and other classes related to software and data science. He is the author of several textbooks, including Think Python, Think Bayes, and Elements of Data Science. Previously, Downey taught at Wellesley College and Colby College. He received his Ph.D. in computer science from the University of California/Berkeley in 1997. His undergraduate and master's degrees are from the Civil Engineering department at MIT. He is the author of Probably Overthinking It, a blog about data science and Bayesian statistics.

Ebooks

Think Julia: How to Think Like a Computer Scientist

Think Python: Edition 3

Think Stats: Exploratory Data Analysis, Edition 2

Think Bayes: Edition 2

Think Perl 6: How to Think Like a Computer Scientist

Think Data Structures: Algorithms and Information Retrieval in Java

Think Complexity: Complexity Science and Computational Modeling, Edition 2

Python for Software Design: How to Think Like a Computer Scientist

Think Java: How to Think Like a Computer Scientist, Edition 2

Think DSP: Digital Signal Processing in Python

Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

Modeling and Simulation in Python: An Introduction for Scientists and Engineers

Pense em Python – 3a Edição: Pense como um cientista da computação, Edição 3

Python lernen mit KI-Tools: Einstieg in die Programmierung mit KI-Unterstützung

Python lernen mit KI-Tools: Einstieg in die Programmierung mit KI-Unterstützung